Dec 17, 2020 · Hence, this paper proposes a distributed delay optimization algorithm by using the massive UAVs to cache the request contents of users. The ...

For the control of large-scale UAVs, we take the robust mean field game theory to model this kind of caching and dynamic flight strategy problem, in which the ...

Abstract—The data requirements of a large number of users incur significant delay to base stations/small base sta- tions (BSs/SBSs) in edge caching networks ...

This paper investigates a distributed delay optimization approach by using the large number of cache-enable unmanned aerial vehicles (UAVs) and forms this ...

Sep 12, 2023 · The authors of [22] proposed a mean field game approach to solve the distributed delay optimization problem in a multi-UAV edge network. Results ...

Apr 1, 2021 · Delay Optimization in Multi-UAV Edge Caching Networks: A Robust Mean Field Game. Citation Details. Title: Delay Optimization in Multi-UAV Edge ...

This paper proposes a distributed caching algorithm under a stochastic geometric network model, as well as a spatio-temporal user demand model that ...

Mar 8, 2023 · Han, “Delay optimization in multi-uav edge caching networks: A robust mean field game,” IEEE Trans. Veh. Technol., vol. 70, no. 1, pp. 808 ...

... Delay Optimization in Multi-UAV Edge Caching Networks: A Robust Mean Field Game”, IEEE Transactions on Vehicular Technology (TVT), Vol. 70, No. 1, pp. 808 ...

Evaluation of flying caching servers in UAV-BS based realistic environment. ... Delay optimization in multi-UAV edge caching networks: a robust mean field game.